The AI Charter.
Company
Hackathon Project
Role
Full Stack & AI Engineer
Timeline
2026
Links
Specialized domain experts: Ethics, Security, Legal, Product, Compliance
Real-time peer challenges through shared Band.ai rooms
Full governance record compiled from Band room transcripts
Major Features Highlight
Five-agent governance panel with domain-specific evaluations (Ethics, Security, Legal, Product, Compliance)
Real-time agent-to-agent cross-examination through Band.ai rooms
Parallel LLM-powered domain evaluations with deterministic vote logic
Multi-step submission form with field-level validation and session persistence
Live review dashboard with polling-based agent status tracking
Structured governance record compiled from Band room transcripts
Overview
The AI Charter is a multi-agent governance system that reviews proposed AI feature releases. Five specialized agents — each representing a distinct governance perspective — independently evaluate proposals, cross-examine peer findings, and cast binding votes inside a shared Band.ai collaboration room.
The Challenge
AI feature releases in regulated environments require multi-stakeholder review across ethics, security, legal, product, and compliance domains. Traditional governance workflows are slow, siloed, and produce inconsistent audit trails. There was no system that could orchestrate genuine agent-to-agent collaboration while maintaining a permanent, transcript-based governance record.
The Engineering Solution
Built a full-stack platform with a Next.js submission portal, FastAPI orchestrator, and five Python governance agents connected via the Band.ai SDK. Each agent runs domain-specific LLM evaluations through Featherless.ai and AI/ML API, posts structured findings to a shared Band room, cross-examines peer conclusions, and casts deterministic votes. The Band room transcript becomes the source of truth for the governance audit trail.
Key System Deliverables
- ✦Next.js 15 web app with multi-step submission form and live review dashboard
- ✦FastAPI orchestrator managing Band.ai room lifecycle and concurrent agent spawning
- ✦Five specialized governance agents inheriting from a shared BaseGovernanceAgent class
- ✦Band.ai SDK as the collaboration layer — agents post findings, challenges, and votes as structured messages
- ✦LLM routing: Featherless.ai for Ethics/Security/Legal, AI/ML API for Product/Compliance
- ✦Deterministic vote logic with domain-specific severity rules (no LLM in vote decisions)
Measurable Success
- ✓Shipped a complete multi-agent governance pipeline under hackathon constraints
- ✓Demonstrated genuine agent-to-agent collaboration through Band.ai rooms rather than isolated LLM calls
- ✓Produced structured governance records with cross-examination logs for permanent audit trails